Aurora Energy Research Data Scientist Interview Questions
The questions to prepare for a Aurora Energy Research Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
Aurora Energy ResearchIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
Aurora Energy ResearchTests data quality handling and correct treatment of missingness.
Aurora Energy ResearchTests advanced SQL window function proficiency for time-based analytics.
Aurora Energy ResearchBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCCompute daily paid GMV and a 7-day trailing moving average using aggregation + window functions.
Balyasny Asset Management
Amazon Development Center U.S.Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
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Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Aurora Energy ResearchTests end-to-end forecasting methodology and statistical rigor for energy market decisions.
Aurora Energy ResearchInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Aurora Energy ResearchTests product sense and your ability to translate analytics into measurable outcomes.
Aurora Energy Research